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disposition of wastes generated from ORNL Nuclear Facilities such as the Radiochemical Engineering Development Center (REDC) and Spallation Neutron Source (SNS). This position resides in the Customer Interface
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Engineering, Mechanical Engineering or a closely related field completed within the last 5 years. Experience in computational modeling, experimental research, or both. Experience with Python, MATLAB, or other
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complying with security policies and guidelines. Ensure the quality and safety of the Group’s work environment. Basic Qualifications: BS in computer science or related field and a minimum of eight (8) years
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have the following main duties and responsibilities: Develop computational fluid dynamics models for steady state and transient analyses in both conventional light water reactors and advanced next
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security. The Systems Engineering (SE) Group is responsible for the High Flux Isotope Reactor (HFIR) configuration management program. The SE Group also provides technical support to operations and
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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reliable R&D manufacturing is critical to program success. The Enrichment Science and Engineering Division serves the nation in two critical areas: advancing enrichment technologies, and exploring enriched
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the Computational Urban Sciences Group in the Advanced Computational Methods for Engineered System Section, Computational Sciences and Engineering Division, Computing and Computational Sciences Directorate, at Oak
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and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science